Zobrazeno 1 - 10
of 192
pro vyhledávání: '"Abdellah Touhafi"'
Publikováno v:
Sensors, Vol 24, Iss 14, p 4720 (2024)
Environmental monitoring is essential for safeguarding the health of our planet and protecting human health and well-being. Without trust, the effectiveness of environmental monitoring and the ability to address environmental challenges are significa
Externí odkaz:
https://doaj.org/article/0fc0a036da474cb9b8d4d08ecf0938c8
Publikováno v:
Sensors, Vol 24, Iss 13, p 4084 (2024)
In recent years, smart water sensing technology has played a crucial role in water management, addressing the pressing need for efficient monitoring and control of water resources analysis. The challenge in smart water sensing technology resides in e
Externí odkaz:
https://doaj.org/article/3f07df020fc34ae5beca7a1fe6d32b14
Autor:
Quentin Quevy, Mimoun Lamrini, Mohamed Chkouri, Gianluca Cornetta, Abdellah Touhafi, Alexandre Campo
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 4, Pp 27-41 (2023)
Water is a major preoccupation for our generation since it is crucial in keeping a healthy ecosystem and supporting biodiversity. The state of aquatic systems and water bodies needs to be continuously monitored to make informed decisions and trigger
Externí odkaz:
https://doaj.org/article/175abf3f0a1842379c861cdb7db07b44
Publikováno v:
Sensors, Vol 23, Iss 13, p 6227 (2023)
Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately categorizing audio using well-trained Machine Learning (ML) classifiers. This application is particularly valuable for cities that analyzed environmental sounds
Externí odkaz:
https://doaj.org/article/e666813e618a45a1bd825bdba3ac0530
Publikováno v:
Applied Computing and Informatics, Vol 17, Iss 2, Pp 210-221 (2021)
AAL (Ambient Assisted Living) is lacking a RM (Reference Model) to serve as an abstraction of the domain. Therefore, to help implement new architectures established on the prior experiences of the designer's expertise and former competences, in this
Externí odkaz:
https://doaj.org/article/23339cb22fbc43208fb62d8aead93230
Autor:
Yasser Mesmoudi, Mohammed Lamnaour, Yasser El Khamlichi, Abderrahim Tahiri, Abdellah Touhafi, An Braeken
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 32, Iss 10, Pp 1108-1116 (2020)
Nowadays, many Internet of Things (IoT) applications have been emerging as innovative solutions for daily life issues, in different fields such as smart cities, environmental surveillance, health care, traffic monitoring, etc. However, most of these
Externí odkaz:
https://doaj.org/article/51269d74c1864fb3a642eb16d80ad059
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 32, Iss 1, Pp 1-10 (2020)
The field of Ambient Assisted living (AAL) is evolving rapidly. Standardization, uniformities and facilitation in the system design, have become an urge to satisfy the growing needs for integrated solutions. In this context, Reference Models (RM) and
Externí odkaz:
https://doaj.org/article/d4ee4f0ca91745669616951ba76cc722
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-22 (2019)
Abstract Cloud and IoT technologies have the potential to support applica- tions that are not strictly limited to technical fields. This paper shows how digital fabrication laboratories (Fab Labs) can leverage cloud technologies to enable resource sh
Externí odkaz:
https://doaj.org/article/83d9a7489bea4005bc0a2135f961800a
Autor:
Lancelot Lhoest, Mimoun Lamrini, Jurgen Vandendriessche, Nick Wouters, Bruno da Silva, Mohamed Yassin Chkouri, Abdellah Touhafi
Publikováno v:
Applied Sciences, Vol 11, Iss 18, p 8394 (2021)
Environmental Sound Recognition has become a relevant application for smart cities. Such an application, however, demands the use of trained machine learning classifiers in order to categorize a limited set of audio categories. Although classical mac
Externí odkaz:
https://doaj.org/article/bdbd5bbaef464353b1606b50ca8fdf03
Autor:
Feras Almasri, Jurgen Vandendriessche, Laurent Segers, Bruno da Silva, An Braeken, Kris Steenhaut, Abdellah Touhafi, Olivier Debeir
Publikováno v:
Sensors, Vol 21, Iss 10, p 3453 (2021)
The computer vision community has paid much attention to the development of visible image super-resolution (SR) using deep neural networks (DNNs) and has achieved impressive results. The advancement of non-visible light sensors, such as acoustic imag
Externí odkaz:
https://doaj.org/article/d1501f3ec07c4a73969705d87324f3ae